Edholm's law

Edholm's law, proposed by and named after Phil Edholm, refers to the observation that the three categories of telecommunication,[1] namely wireless (mobile), nomadic (wireless without mobility) and wired networks (fixed), are in lockstep and gradually converging.[2] Edholm's law also holds that data rates for these telecommunications categories increase on similar exponential curves, with the slower rates trailing the faster ones by a predictable time lag.[3] Edholm's law predicts that the bandwidth and data rates double every 18 months, which has proven to be true since the 1970s.[1][4] The trend is evident in the cases of Internet,[1] cellular (mobile), wireless LAN and wireless personal area networks.[4]

Concept

Edholm's law was proposed by Phil Edholm of Nortel Networks. He observed that telecommunication bandwidth (including Internet access bandwidth) was doubling every 18 months, since the late 1970s through to the early 2000s. This is similar to Moore's law, which predicts an exponential rate of growth for transistor counts. He also found that there was a gradual convergence between wired (e.g. Ethernet), nomadic (e.g. modem and Wi-Fi) and wireless networks (e.g. cellular networks). The name "Edholm's law" was coined by his colleague, John H. Yoakum, who presented it at a 2004 Internet telephony press conference.[1]

Slower communications channels like cellphones and radio modems were predicted to eclipse the capacity of early Ethernet, due to developments in the standards known as UMTS and MIMO, which boosted bandwidth by maximizing antenna usage.[1] Extrapolating forward indicates a convergence between the rates of nomadic and wireless technologies around 2030. In addition, wireless technology could end wireline communication if the cost of the latter's infrastructure remains high.[2]

Underlying factors

In 2009, Renuka P. Jindal observed the bandwidths of online communication networks rising from bits per second to terabits per second, doubling every 18 months, as predicted by Edholm's law. Jindal identified the following three major underlying factors that have enabled the exponential growth of communication bandwidth.[5]

  • MOSFET (metal-oxide-semiconductor field-effect transistor) – The MOSFET (MOS transistor) was invented by Mohamed Atalla and Dawon Kahng at Bell Labs in 1959.[6][7][8] It is the basic building block of telecommunications networks,[9][10] and powers the worldwide Internet with high-speed and low-power MOS integrated circuits.[11] Advances in MOSFET technology (MOS technology) has been the most important contributing factor in the rapid rise of bandwidth in telecommunications networks. Continuous MOSFET scaling, along with various advances in MOS technology, has enabled both Moore's law (transistor counts in integrated circuit chips doubling every two years) and Edholm's law (communication bandwidth doubling every 18 months).[5]
  • Laser lightwave systems – The laser was demonstrated by Charles H. Townes and Arthur Leonard Schawlow at Bell Labs in 1960. Laser technology was later adopted in the design of integrated electronics using MOS technology, leading to the development of lightwave systems around 1980. This has led to exponential growth of bandwidth since the early 1980s.[5]
  • Information theory – Information theory, as enunciated by Claude Shannon at Bell Labs in 1948, provided a theoretical foundation to understand the trade-offs between signal-to-noise ratio, bandwidth, and error-free transmission in the presence of noise, in telecommunications technology. In the early 1980s, Renuka Jindal at Bell Labs used information theory to study the noise behaviour of MOS devices, improving their noise performance and resolving issues that limited their receiver sensitivity and data rates. This led to a significant improvement in the noise performance of MOS technology, and contributed to the wide adoption of MOS technology in lightwave and then wireless terminal applications.[5]

The bandwidths of wireless networks have been increasing at a faster pace compared to wired networks.[1] This is due to advances in MOSFET wireless technology enabling the development and growth of digital wireless networks. The wide adoption of RF CMOS (radio frequency CMOS), power MOSFET and LDMOS (lateral diffused MOS) devices led to the development and proliferation of digital wireless networks by the 1990s, with further advances in MOSFET technology leading to rapidly increasing bandwidth since the 2000s.[12][13][14] Most of the essential elements of wireless networks are built from MOSFETs, including the mobile transceivers, base station modules, routers, RF power amplifiers,[13] telecommunication circuits,[15] RF circuits, and radio transceivers,[14] in networks such as 2G, 3G,[12] and 4G.[13]

In recent years, another enabling factor in the growth of wireless communication networks has been interference alignment, which was discovered by Syed Ali Jafar at the University of California, Irvine.[16] He established it as a general principle, along with Viveck R. Cadambe, in 2008. They introduced "a mechanism to align an arbitrarily large number of interferers, leading to the surprising conclusion that wireless networks are not essentially interference limited." This led to the adoption of interference alignment in the design of wireless networks.[17] According to New York University senior researcher Dr. Paul Horn, this "revolutionized our understanding of the capacity limits of wireless networks" and "demonstrated the astounding result that each user in a wireless network can access half of the spectrum without interference from other users, regardless of how many users are sharing the spectrum."[16]

See also

References
  1. Cherry, Steven (2004). "Edholm's law of bandwidth". IEEE Spectrum. 41 (7): 58–60. doi:10.1109/MSPEC.2004.1309810.
  2. Esmailzadeh, Riaz (2007). Broadband Wireless Communications Business: An Introduction to the Costs and Benefits of New Technologies. West Sussex: John Wiley & Sons, Ltd. pp. 10. ISBN 9780470013113.
  3. Webb, William (2007). Wireless Communications: The Future. Hoboken, NJ: John Wiley & Sons, Ltd. p. 67. ISBN 9780470033128.
  4. Deng, Wei; Mahmoudi, Reza; van Roermund, Arthur (2012). Time Multiplexed Beam-Forming with Space-Frequency Transformation. New York: Springer. p. 1. ISBN 9781461450450.
  5. Jindal, Renuka P. (2009). "From millibits to terabits per second and beyond - Over 60 years of innovation". 2009 2nd International Workshop on Electron Devices and Semiconductor Technology: 1–6. doi:10.1109/EDST.2009.5166093. ISBN 978-1-4244-3831-0.
  6. "1960 - Metal Oxide Semiconductor (MOS) Transistor Demonstrated". The Silicon Engine. Computer History Museum.
  7. Lojek, Bo (2007). History of Semiconductor Engineering. Springer Science & Business Media. pp. 321–3. ISBN 9783540342588.
  8. "Who Invented the Transistor?". Computer History Museum. 4 December 2013. Retrieved 20 July 2019.
  9. "Triumph of the MOS Transistor". YouTube. Computer History Museum. 6 August 2010. Retrieved 21 July 2019.
  10. Raymer, Michael G. (2009). The Silicon Web: Physics for the Internet Age. CRC Press. p. 365. ISBN 9781439803127.
  11. Omura, Yasuhisa; Mallik, Abhijit; Matsuo, Naoto (2017). MOS Devices for Low-Voltage and Low-Energy Applications. John Wiley & Sons. p. 53. ISBN 9781119107354.
  12. Baliga, B. Jayant (2005). Silicon RF Power MOSFETS. World Scientific. ISBN 9789812561213.
  13. Asif, Saad (2018). 5G Mobile Communications: Concepts and Technologies. CRC Press. pp. 128–134. ISBN 9780429881343.
  14. O'Neill, A. (2008). "Asad Abidi Recognized for Work in RF-CMOS". IEEE Solid-State Circuits Society Newsletter. 13 (1): 57–58. doi:10.1109/N-SSC.2008.4785694. ISSN 1098-4232.
  15. Colinge, Jean-Pierre; Greer, James C. (2016). Nanowire Transistors: Physics of Devices and Materials in One Dimension. Cambridge University Press. p. 2. ISBN 9781107052406.
  16. "2015 National Laureates". Blavatnik Awards for Young Scientists. June 30, 2015. Retrieved 22 September 2019.
  17. Jafar, Syed A. (2010). "Interference Alignment — A New Look at Signal Dimensions in a Communication Network". Foundations and Trends in Communications and Information Theory. 7 (1): 1–134. CiteSeerX 10.1.1.707.6314. doi:10.1561/0100000047.

Bibliography
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